Multi-Source Data Fusion-Based Grid-Level Load Forecasting by Hai Ye, Xiaobi Teng, Bingbing Song, Kaiming Zou, Moyan Zhu, Guangyu He

Get full text

A federated LSTM network for load forecasting using multi-source data with homomorphic encryption by Mengdi Wang, Rui Xin, Mingrui Xia, Zhifeng Zuo, Yinyin Ge, Pengfei Zhang, Hongxing Ye

Get full text

Integration of Multi-Source Landslide Disaster Data Based on Flink Framework and APSO Load Balancing Task Scheduling by Zongmin Wang, Huangtaojun Liang, Haibo Yang, Mengyu Li, Yingchun Cai

“…Utilizing Kafka as a message queue, a real-time data pipeline was constructed, with Flink facilitating data processing and read/write operations for the database. This implementation achieves efficient integration of multi-source landslide data. (3) Compared to Flink’s default task scheduling strategy, the cluster load balancing strategy based on APSO demonstrated a reduction of approximately 4.7% in average task execution time and an improvement of approximately 5.4% in average system throughput during actual tests using landslide data sets. …”
Get full text

Framework and Outlooks of Multi-Source–Grid–Load Coordinated Low-Carbon Operational Systems Considering Demand-Side Hierarchical Response by Yong Cui, Jian Zheng, Wenying Wu, Kun Xu, Desen Ji, Tian Di

“…In the context of advancing new power systems, a multi-source–grid–load interactive operation framework considering low-carbon demand hierarchical response is developed to further explore the support value of the multi-source–grid–load interaction mechanism for the low-carbon economic operation of the power system. …”
Get full text

Bidirectional Power Flow Control Using Phase Shifting Transformer in Multi-Source Systems by Hafiz Ashfaq Ahmad, Atif Hussain, Muhammad Waqar Azam

Get full text

Security access permission authentication simulation of multi-source network big data based on blockchain by Bin LI, Hui HE, Zhongying ZHAO, Jingwei GUO

“…The frequent interaction and storage of big data in multi-source networks have broken traditional data silos, enabling cross regional and cross organizational data access, posing significant challenges to data security and privacy protection.As one of the technologies to protect data and resource security, access authentication faces enormous communication loads while obtaining trust from all data nodes, which can cause data loss and damage.Therefore, a blockchain based research method for multi-source network big data security access permission authentication was proposed.The transformation status of data in network transmission using similarity relationships was measured, and the probability of multi-source network data access based on the similarity matrix was calculated.The data security access contracts were established through blockchain technology, calibrating data access attributes and transaction ciphertexts, and compressing data within corresponding attributes.The access reliability based on the purpose of the access was analyzed, reliability was used as the standard to correspond to the security level, rules under different levels of reliability were accessed, specific permissions were authenticated for data security access, and implementation methods were designed.The experimental results show that using different data attribute contents as testing conditions, encrypting and decrypting data in both conventional and attack modes, the new method can achieve fast authentication response and secure access to network data.…”
Get full text

Control Strategy of a Multi-Source System Based on Batteries, Wind Turbines, and Electrolyzers for Hydrogen Production by Ibrahima Touré, Alireza Payman, Mamadou Baïlo Camara, Brayima Dakyo

“…It is essential to mention that the studied multi-source system is connected to the DC loads (modular electrolyzers and local load). …”
Get full text

A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system by Geetanjali Dei, Deepak Kumar Gupta, Binod Kumar Sahu, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

“…Abstract Implementing a suitable load frequency controller to maintain the power balance equation for a multi-area system with many power generating units poses a challenge to a power system engineer. …”
Get full text

Research and Application of A Comprehensive Monitoring Platform for Coal Conveyor Gallery Based on Multi-Dimensional Information Fusion by CUI Xiaohui, MA Xiaodong, LIU Mingsheng, CHEN Xiaodong, ZHANG Hanqing

“…It encompasses functions such as accessing multi-source heterogeneous data, load balancing, intelligent analysis, and decision fusion based on multiple data models. …”
Get full text

A sun flower optimization based modified high step up SEPIC converter for electric vehicle applications by B. Karthikeyan, V. Shanmugasundaram, R. Palanisamy, Mohammad Mukhtar Alam, Qasem M. Al-Mdallal

“…This converter finds application in multi-source fed hybrid electric vehicle applications. …”
Get full text

Addressing Uncertainty in Renewable Energy Integration for Western Australia’s Mining Sector: A Robust Optimization Approach by Mehrdad Ghahramani, Daryoush Habibi, Seyyedmorteza Ghamari, Asma Aziz

“…A robust optimization approach is developed to model a multi-source hybrid energy system that considers risk-averse, risk-neutral, and risk-seeking strategies. …”
Get full text

“Image-Spectral” fusion monitoring of peanut leaf spot disease level based on deep learning by Yongda Lin, Jiangtao Tan, Hong Li, Xi Li, Jianguo Wang, Tingting Chen, Lei Zhang

“…To address these limitations, this study proposes a robust multi-source feature fusion model for peanut leaf spot detection, integrating ResNet101 for RGB image feature extraction and an improved 1D-CNN for hyperspectral feature extraction. …”
Get full text